Data Scientist (m/f/d)
Core
Develop multi-omics data integration and machine learning methods to identify patterns in biological product performance and guide the selection and optimization of novel biologicals solutions.
Role type
Senior IC data scientist (multi-omics & machine learning)
Builds
Predictive model applications and new data analysis tools for biologicals R&D
Domain
Agriculture + Bioinformatics (multi-omics)
Deliverable
production ML models
Required skills
multi-omics data integration, machine learning, statistical modeling, data harmonization, feature engineering, network-based methods, data curation, quality control, Python, R, SQL, UNIX/Linux
Preferred skills
proteomics analysis, metabolomics analysis
Technologies
Python, R, ML frameworks, SQL, UNIX/Linux
Responsibilities
Develop and implement multi-omics integration strategies; Apply machine learning and AI to extract insights from high-dimensional datasets; Curate and integrate large-scale omics datasets; Evaluate and develop new data analysis tools; Identify data needs and verify data integrity; Collaborate with R&D IT to deploy predictive model applications; Support business users with data management change initiatives
Seniority
Senior, hands-on IC
